Evidence map›Paper›PMID 31097684›Full record

ReviewBlood cancer journal2019

Integrating precision medicine through evaluation of cell of origin in treatment planning for diffuse large B-cell lymphoma.

Grzegorz S Nowakowski, Tatyana Feldman, Lisa M Rimsza, Jason R Westin, Thomas E Witzig, Pier Luigi Zinzani

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Blood cancer journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05834426 (Omic Technologies Applied to the Study of Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma for the Discovery of Diagnostic and Prognosis Biomarkers), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05834426 not yet recruitingnot on this mapstarted 2023, after this paper: background citation

Omic Technologies Applied to the Study of Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma for the Discovery of Diagnostic and Prognosis Biomarkers

TypeobservationalSponsorSociedad de Lucha Contra el Cáncer del EcuadorRan2023 to 2026Enrolled50ConditionsLymphoma, B-Cell, Neoplasms, Cancer, High-grade B-cell LymphomaArmsPlasma metabolomic profile by Ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS)
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Novel concepts of cell-of origin in neuroendocrine neoplasms.Virchows Archiv : an international journal of pathology · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Expression of NBioengineered · 2021
    Article
  14. Advances in Lymphoma Molecular Diagnostics.Diagnostics (Basel, Switzerland) · 2021
    Review
  15. Article
  16. Metabolic Swifts Govern Normal and Malignant B Cell Lymphopoiesis.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Grzegorz S NowakowskiDivision of Hematology, Mayo Clinic, Rochester, MN, USA. Nowakowski.Grzegorz@mayo.edu.
Tatyana FeldmanDivision of Lymphoma, John Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Lisa M RimszaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ, USA.
Jason R WestinDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Thomas E WitzigDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-4215-6500
Pier Luigi ZinzaniInstitute of Hematology, University of Bologna, Bologna, Italy.
Mayo Clinic · USHackensack University Medical Center · USMayo Clinic in Arizona · USThe University of Texas MD Anderson Cancer Center · USUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine is modernizing strategies for clinical study design to help improve diagnoses guiding individualized treatment based on genetic or phenotypic characteristics that discriminate between patients with similar clinical presentations. Methodology to personalize treatment choices is being increasingly employed in clinical trials, yielding favorable correlations with improved response rates and survival. In patients with diffuse large B-cell lymphoma (DLBCL), disease characteristics and outcomes may vary widely, underscoring the importance of patient classification through identification of sensitive prognostic features. The discovery of distinct DLBCL molecular subtypes based on cell of origin (COO) is redefining the prognosis and treatment of this heterogeneous cancer. Owing to significant molecular and clinical differences between activated B-cell-like (ABC)- and germinal center B-cell-like (GCB)-DLBCL subtypes, COO identification offers opportunities to optimize treatment selection. Widespread adoption of COO classification would greatly improve treatment and prognosis; however, limitations in interlaboratory concordance between immunohistochemistry techniques, cost, and availability of gene expression profiling tools undermine universal integration in the clinical setting. With advanced methodology to determine COO in a real-world clinical setting, therapies targeted to specific subtypes are under development. The focus here is to review applications of precision medicine exemplified by COO determination in DLBCL patients.

Indexed as

Disease SusceptibilityPrecision MedicineAdvance Care PlanningAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorClinical Decision-MakingDisease ManagementHumansLymphoma, Large B-Cell, DiffusePrognosisRecurrenceTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID31097684
PMCPMC6522601
OpenAlexW2946060264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.